suzan-bayhan

EERI: Energy-efficient and resilient Internet

The Internet forms the backbone of the world's most crucial services, ranging from education to healthcare and from transportation to communications. Given its critical role in the continuity of everyday services, it is paramount to understand and improve the resilience of the internet. Besides its resilience, energy consumption of the internet is of great concern; it accounts for 10 percent of global energy consumption, which is expected to rise to more than 20 percent by 2030. With increasing dependency on digital services, improving energy efficiency at all levels - from hardware to software and from simple IoT devices to sophisticated network infrastructures- becomes paramount to decrease the energy footprint of the internet and to increase its resilience against possible energy outages. In this context, EERI aims at both understanding and improving the energy efficiency and resilience of the internet. We will design energy-efficient hardware and control, resource allocation algorithms considering both the wired and wireless communication networks with optimization strategies that make the internet resilient against failures. Please visit the project website for more up-to-date information. Here is our faculty video having a short overview of EERI.

Our EERI papers are: impact of multi-connectivity on network capacity ( IEEE TVT), analysis of resilience of cellular networks (IEEE TNSM), analysis of the benefits offered by national roaming in terms of resilience, coverage, capacity, and transmission power consumption (IFIP Networking Workshop IOCRCI 2023), BEAM-ALIGN (under review) , impact of power consumption models on NOMA performance (IEEE TGCN), and power allocation for NOMA (EUCNC'23), mobile networks as the edge computing infrastructure (LESS-ON at Computer Networks and ODESA at IEEE WCNC'24).

Related events we organized: Resilience of communication networks, two sessions at Risk&Resilience Festival 2022.

Networking with the edge

Increasing number of end-user devices and the volume of traffic generated by and to these devices lead to many challenges for the network providers which have already been challenged by massive increase in network traffic. For users, cloud-based systems pose a privacy risk as the user's data is constantly communicated to the cloud. Motivated by these issues (and others), edge paradigm aims at bringing communication and computation closer to the user so that above-mentioned issues can be mitigated to some extent. However, many questions remain yet to be addressed.

See our vision for an intelligent container overlay ICON@HotNets18, ExEC@EdgeSys19, and using the power of the edge devices for a distributed edge cloud DeCloud@ICDCS19, and our research @EdgeSys'20 on when edge provides the highest performance for IoT data analytics functions as compared to cloud placement. Our paper@HotNets20 revisits the arguments motivating the edge with a large-scale measurement campaign and discusses the promise of edge for various applications. Our paper EdgeDASH@TNSM proposes to use the edge caches for improving the DASH streaming performance for multiple clients competing for a bottleneck link's capacity. We survey the literature on pervasive edge computing for IIoT in our article@IEEE Access.

Related events we organized: Lorentz 2021 (online) workshop and Lorentz 2023 workshop.

Dynamic spectrum sharing and coexistence in unlicensed spectrum

In unlicensed LTE, LTE operators can use unlicensed 5 GHz spectrum along with their licensed spectrum via carrier aggregation techniques. However, they first have to implement coexistence schemes with the incumbents of unlicensed spectrum, most importantly with WiFi. A straighforward approach is to leave some resource blocks for WiFi's use: frequency, time, space. Our idea is to exploit interference nulling to increase the concurrency of LTE-U and WiFi transmissions via coexistence gaps in space domain. LTE-U BS with multiple antennas can use some of its antenna diversity to null its interference on neighboring WiFi nodes and thereby enabling their downlink traffic. We introduce the idea and analyse its performance under various LTE-WiFi distance, number of WiFi users, and number of LTE-U antennas. Our analysis reveal up to 221% gain in LTE throughput and 44% in that of WiFi.

See our paper presented at IEEE WoWMoM. Also, you can check our solution Xzero presented at European Wireless 2018 and demo-ed at MobiSys 2018, extended version at Null-While-Talk at PMC. See our papers on cross-technology communication, CTC-CEM@WoWMoM'20, Punched-cards-over-the-air@WoWMoM'20 (best paper award), Demo@INFOCOM'20 (best demo award), and DeepCTC. Spectrum sensing by the help of crowd sensors could help identifying the state of the spectrum at scale. See our paper presented at IEEE DYSPAN 2018 and extended version published at IEEE TCCN. You can find also the slides of my talk @Aalto-CS.

Moreover, can machine learning help us in handling the increasing complexity of current wireless networks and find the best operation setting for a wireless network? Our recent works answer this question affirmatively. See our solution aiOS @IEEE/IFIP NOMS'20 for a WLAN and DeepCTC for cross-technology communication and DeepTxFinder@ICCCN20 for multiple transmitter localization in a wireless network. You can find also the abstract of our invited tutorial @Crowncom 2017, slides of my invited talks at RBCDSAI-FCAI Conference on Deployable AI and IEEE HPSR 2022.

Tech Reports

The Future is Unlicensed: Coexistence in the Unlicensed Spectrum for 5G, 2018 arXiv

Deep Learning for Cross-Technology Communication Design", arxiv, listed in Research Library of the IEEE Machine Learning For Communications Emerging Technologies Initiatives, 2019.

Recent Research

Revisiting Edge AI: Opportunities and Challenges, IEEE Internet Computing, July-Aug. 2024
T. Meuser et al.

LESS-ON: Load-aware edge server shutdown for energy saving in cellular networks, Computer Networks, 2024.
B Gómez, S Bayhan, E Coronado, J Villalón, A Garrido

Assessing the security of Internet paths: A case study of Dutch critical infrastructures, Applied Networking Research Workshop ( ANRW'24)
Shyam Khadka, Suzan Bayhan, Ralph Holz, Cristian Hesselman (see also the RIPE blogpost )

On the Resilience of Cellular Networks: How Can National Roaming Help?, IEEE Transactions on Network and Service Management, 2024. paper
Lotte Weedage, Syllas R. C. Magalhaes, Clara Stegehuis, Suzan Bayhan

ODESA: Load-Dependent Edge Server Activation for Lower Energy Footprint, IEEE WCNC 2024
Blas Gómez Mora, B. , Suzan Bayhan, Estefania Coronado, Jose Villalon, Antonio Garrido

Perspectives on Negative Research Results in Pervasive Computing, IEEE Pervasive Computing, June 2023, open access
Ella Peltonen, Nitinder Mohan, Peter Zdankin, Tanya Shreedhar, Tri Nguyen, Suzan Bayhan, Jon Crowcroft, Jussi Kangasharju, Daniela Nicklas

Impact of Power Consumption Models on the Energy Efficiency of Downlink NOMA Systems, IEEE Transactions on Green Communications and Networking, June 2023
Syllas R. C. Magalhaes, Suzan Bayhan, Geert Heijenk

National roaming as a fallback or default? IFIP Networking Workshop on IOCRCI, 2023
Lotte Weedage, Syllas R. C. Magalhaes, Suzan Bayhan

Power Allocation for Multi-Cell Non-Orthogonal Multiple Access Networks: Energy Efficiency vs. Throughput vs. Power Consumption, EuCNC, 2023
Syllas R. C. Magalhaes, Suzan Bayhan, Geert Heijenk

Impact of Multi-connectivity on Channel Capacity and Outage Probability in Wireless Networks, IEEE Transactions on Vehicular Technology, 2023 arXiv, link , Lotte Weedage, Clara Stegehuis, Suzan Bayhan

Optimal Geocast Scheduling under Multicasts and Relaying in mmWave Vehicular Networks, IEEE WoWMoM 2022. paper
Thijs Havinga, Suzan Bayhan, and Geert Heijenk

2021

JOI: Joint Placement of IoT Analytics Operators and Pub/Sub Message Brokers in Fog-centric IoT Platforms, Future Generation Computer Systems, 2021. link to the paper
Daniel Happ, Suzan Bayhan, Vlado Handziski

Surrounded by the Clouds, The Web Conference, 2021. paper (acceptance ratio: 20.6%, 357/1736) video | website | paper

Lorenzo Corneo, Maximilian Eder, Nitinder Mohan, Aleksandr Zavodovski, Suzan Bayhan, Walter Wong, Per Gunningberg, Jussi Kangasharju and Jörg Ott

AI-Empowered Software-Defined WLANs, IEEE Communications Magazine, 2021. link to the paper

Estefania Coronado, Suzan Bayhan, Abin Thomas, Roberto Riggio

2020

EdgeDASH: Exploiting Network-Assisted Adaptive Video Streaming for Edge Caching, accepted to IEEE TNSM, Oct 2020. paper
Suzan Bayhan, Setareh Maghsudi, Anatolij Zubow

Key Advances in Pervasive Edge Computing for IIoT in 5G and Beyond, IEEE Access. paper (open-access)
Arun Narayanan, Arthur Sousa de Sena, Daniel Gutierrez-Rojas, Dick Carrillo Melgarejo, Hafiz Majid Hussain, Suzan Bayhan, Pedro H. J. Nardelli

Pruning Edge Research with Latency Shears, ACM HotNets 2020 (acceptance ratio: 30/120) paper | slides I video
Nitinder Mohan, Lorenzo Corneo, Aleksandr Zavadovski, Suzan Bayhan, Walter Wong, Jussi Kangasharju

User-AP Association Management in Software-Defined WLANs, IEEE TNSM, June 2020. paper | ieeexplore
Suzan Bayhan, Estefania Coronado, Roberto Riggio, Anatolij Zubow

DeepTxFinder: Multiple Transmitter Localization by Deep Learning in Crowdsourced Spectrum Sensing, IEEE ICCCN 2020. invited paper | slides
Anatolij Zubow, Suzan Bayhan, Piotr Gawlowicz, Falko Dressler

On the Impact of Clustering for IoT Analytics and Message Broker Placement across Cloud and Edge, EdgeSys 2020. paper | slides | | video
Daniel Happ, Suzan Bayhan

Punched Cards over the Air: CTC Between LTE-U/LAA and WiFi, IEEE WoWMoM 2020 (acceptance ratio: 28/110). paper | slides | [best-paper award]
Piotr Gawlowicz, Anatolij Zubow, Suzan Bayhan, Adam Wolisz

CTC-CEM: Low-Latency Cross-Technology Channel Establishment with Multiple Nodes, IEEE WoWMoM 2020 (acceptance ratio: 28/110). paper | slides
Verónica Toro-Betancur, Suzan Bayhan, Piotr Gawlowicz, Mario Di Francesco

Demo: Cross-Technology Communication between LTE-U/LAA and WiFi, IEEE INFOCOM 2020. abstract | slides [best-demo award]
Piotr Gawlowicz, Anatolij Zubow, Suzan Bayhan

On Practical Cooperative Multi Point Transmission for 5G Networks, Computer Networks, 2020. paper
Anatolij Zubow, Ahmad Rostami, Suzan Bayhan

aiOS: An Intelligence Layer for SD-WLANs, IEEE/IFIP NOMS 2020. paper
Estefania Coronado, Abin Thomas, Suzan Bayhan, Roberto Riggio

2019

14th Workshop on Challenged Networks, ACM Mobicom Workshop, 2019
Suzan Bayhan and Eirini Eleni Tsiropoulou

Smart Contracts for Spectrum Sensing as a Service, IEEE TCCN 2019. paper
Suzan Bayhan, Anatolij Zubow, Piotr Gawlowicz, Adam Wolisz

PoMeS: Profit-Maximizing Sensor Selection for Crowd-Sensed Spectrum Discovery, CROWNCOM 2019 (invited). paper | slides
Suzan Bayhan, Gurkan Gur, Anatolij Zubow

Null-While-Talk: Interference Nulling for Improved Inter-Technology Coexistence in LTE-U and WiFi Networks, PMC, 2019 paper
Suzan Bayhan*, Piotr Gawlowicz*, Anatolij Zubow*, Adam Wolisz (*equal contributions)

DeCloud: Truthful Decentralized Double Auction for Edge Clouds, ICDCS 2019 (acceptance ratio: 25%) paper
Aleksandr Zavodovski, Suzan Bayhan, Nitinder Mohan, Pengyuan Zhou, Walter Wong, Jussi Kangasharju

ExEC:Elastic Extensible Edge Cloud, EdgeSys 2019 paper | slides
Aleksandr Zavodovski, Nitinder Mohan, Suzan Bayhan, Walter Wong, Jussi Kangasharju

2018

Understanding Scoped-Flooding for Content Discovery and Caching in Content Networks, IEEE JSAC SI on Caching 2018. paper
Liang Wang, Suzan Bayhan, Jörg Ott, Jussi Kangasharju, Jon Crowcroft

ICON: Intelligent Container Overlays, ACM HotNets 2018 (acceptance ratio: 26/125=~21%). paper | slides | video
Aleksandr Zavodovski, Nitinder Mohan, Suzan Bayhan, Walter Wong, Jussi Kangasharju

Spass: Spectrum Sensing as a Service via Smart Contracts, IEEE DYSPAN 2018. paper | slides | repository
Suzan Bayhan, Anatolij Zubow, Adam Wolisz

Demo: Cross-Technology Interference Nulling for Improved LTE-U/WiFi Coexistence, ACM MobiSys 2018. abstract | poster | video
Piotr Gawlowicz, Anatolij Zubow, Suzan Bayhan

On Practical Coexistence Gaps in Space for LTE-U/WiFi Coexistence, European Wireless 2018, Catania, Italy. paper | slides | arxiv
Anatolij Zubow, Piotr Gawlowicz, Suzan Bayhan

Coexistence Gaps in Space: Cross-Technology Interference-Nulling for Improving LTE-U/WiFi Coexistence, IEEE WoWMoM18. paper | slides | arXiv

Suzan Bayhan, Anatolij Zubow, Adam Wolisz

Enabling Flexibility of Traffic Split Function in LTE-WiFi Aggregation Networks through SDN, Workshop on Smart Antennas, Febr. 2018. paper | slides
Suzan Bayhan and Anatolij Zubow

2017 and earlier

Optimal Mapping of Stations to Access Points in Enterprise Wireless Local Area Networks, ACM MsWiM 2017. paper | slides
Suzan Bayhan and Anatolij Zubow

Optimal Resource Allocation for Content Delivery in D2D-supported Cellular Networks, IEEE PIMRC 2017
Can Guven, Suzan Bayhan, Gurkan Gur, and Salim Eryigit

On Content Indexing for Off-Path Caching in ICN, ACM ICN, Kyoto, Japan, September 26-28, 2016. paper | slides
Suzan Bayhan, Liang Wang, Jörg Ott, Jussi Kangasharju, Arjuna Sathiaseelan, Jon Crowcroft

Pro-Diluvian: Understanding Scoped-Flooding for Content Discovery in ICN, ACM ICN, San Francisco, US, Sept. 30 - Oct.2, 2015. paper | slides
Liang Wang, Suzan Bayhan, Jörg Ott, Jussi Kangasharju, Arjuna Sathiaseelan, Jon Crowcroft [best paper award]

Optimal Chunking and Partial Caching in ICN, Computer Communications, 2015. paper
Liang Wang, Suzan Bayhan, Jussi Kangasharju

Effects of Cooperation Policy and Network Topology on Performance of In-Network Caching, IEEE Communications Letters, 2014. paper
Liang Wang, Suzan Bayhan, Jussi Kangasharju

Data-Driven Analysis of Database-Assisted Spectrum Access for Mobile Users, INFOCOM Workshop on SCAN, 2017. paper | slides
Aleksandr Zavadovski, Suzan Bayhan, and Jussi Kangasharju

Mobile Content Offloading in Database-Assisted White Space Networks, CrownCom, Grenoble, France, May 30 - June 1, 2016. paper | slides

Suzan Bayhan, Gopika Premsankar, Mario Di Francesco, and Jussi Kangasharju

Optimal Cooperator Set Selection in Social CRNs, IEEE Transactions on Vehicular Technology, 2015.
Salim Eryigit, Suzan Bayhan, Jussi Kangasharju, and Tuna Tugcu

CooperativeQ: Energy-Efficient Channel Access Based on Cooperative Reinforcement Learning, IEEE ICC 2015, Workshop on Next Generation Green ICT, London, UK, June 2015. paper | slides
Mehmet Emre, Gürkan Gür, Suzan Bayhan, and Fatih Alagöz

Energy Efficiency Impact of Cognitive Femtocells in Heterogeneous Wireless Networks, The First ACM workshop on Cognitive Radio Architectures for Broadband (CRAB 2013), Miami, FL, USA, 2013. slides
Gürkan Gür, Suzan Bayhan, Fatih Alagöz

Effect of Social Relations on Cooperative Sensing in Cognitive Radio Networks (Invited Paper), BlackSeaCom, Batumi, Georgia, July 2013. paper | slides
Can Güven, Suzan Bayhan, Fatih Alagöz

Energy Efficiency is a Subtle Concept: Fundamental Trade-offs for CRNs, IEEE Communications, 2014. Poster| IEEExplore
Salim Eryigit, Gürkan Gür, Suzan Bayhan, Tuna Tugcu

Radio Environment Map As Enabler for Practical Cognitive Radio Networks, IEEE Communications, 2013. IEEExplore
H.Birkan Yilmaz, Suzan Bayhan, Tuna Tugcu, and Fatih Alagöz

Low Complexity Uplink Schedulers for Energy-Efficient CRNs, IEEE Wireless Communications Letters, vol. 2, no. 3, June 2013. paper
Suzan Bayhan, Salim Eryigit, Fatih Alagöz, Tuna Tugcu

Energy-Efficient Multi-Channel Cooperative Sensing Scheduling with Heterogeneous Channel Conditions for CRNs, IEEE Transactions on Vehicular Technology, July 2013 paper
Salim Eryigit, Suzan Bayhan, Tuna Tugcu

Scheduling in Centralized CRNs for Energy Efficiency, IEEE Transactions on Vehicular Technology, vol.62, no.2, Feb. 2013. paper
Suzan Bayhan and Fatih Alagöz

A Markovian Approach for best-fit channel selection in CRNs, Ad Hoc Networks (Elsevier), 12: 165-177 (2014). paper
Suzan Bayhan and Fatih Alagöz

Distributed Channel Selection in CRAHNs: A Non-Selfish Scheme Mitigating the Effect of Spectrum Fragmentation, Ad Hoc Networks (Elsevier), SI on CRAHNs, Volume 10, Issue 5, July 2012. p.774–788. paper
Suzan Bayhan and Fatih Alagöz

Cognitive Femtocell Networks: An Overlay Architecture for Localized Dynamic Spectrum Access, IEEE Wireless Communications, Aug. 2010. Listed in Best Reading on Cognitive Radio paper
Gürkan Gür, Suzan Bayhan, Fatih Alagöz

Channel Switching Cost Aware and Energy-Efficient Cooperative Sensing Scheduling for CRNs, IEEE ICC 2013, Budhapest, Hungary, June 2013. paper
Salim Eryigit, Suzan Bayhan and Tuna Tugcu

A Non-Selfish and Distributed Channel Selection Scheme in CRAHNs, ACM MsWiM, Turkey, 2010.
Suzan Bayhan and Fatih Alagöz

Search in Digital Pockets: Retrieving Remote Content in Mobile Opportunistic Networks, IEEE Wireless Communications, June 2016. paper
Suzan Bayhan, Esa Hyytiä, Jussi Kangasharju, and Jörg Ott

On Search and Content Availability in Opportunistic Networks, Computer Communications, vol. 73, Part A, Jan. 2016, pp. 118–131. paper
Esa Hyytiä, Suzan Bayhan, Jörg Ott, Jussi Kangasharju

Two Hops or More: On Hop-Limited Search in Opportunistic Networks, ACM MsWiM, Cancun, Mexico, Nov. 2015. paper | slides | report
Suzan Bayhan, Esa Hyytiä, Jussi Kangasharju, Jörg Ott

Analysis of Hop Limit in Opportunistic Networks by Static and Time-Aggregated Graphs, IEEE ICC 2015 paper | slides
Suzan Bayhan, Esa Hyytiä, Jussi Kangasharju, and Jörg Ott

Searching a Needle in (Linear) Opportunistic Networks, ACM MSWiM, Montreal, Canada, 2014. paper
Esa Hyytiä, Suzan Bayhan, Jörg Ott and Jussi Kangasharju

Seeker-Assisted Information Search in Mobile Clouds, ACM SIGCOMM Workshop on Mobile Cloud Computing (MCC), Hong Kong, 2013. paper, slides, 2012 N2Women
Suzan Bayhan, Esa Hyytiä, Jussi Kangasharju and Jörg Ott

Our Team

Academic Positions

Associate Professor (Assistant professor 2019-2023) @ DACS, University of Twente, Netherlands (2019 - present)

Senior researcher @ TKN, TU Berlin, Germany (09.2016 - 09.2019)

Post-doc researcher @ CoNe, University of Helsinki, Finland (08.2012 - 09.2016)

PhD researcher @ SATLAB, Bogazici University, Turkey (2007 - 2012)

EUGAIN STSM research visit @ ZHAW, InIT (April-May 2021)

Visiting researcher @ CS, Aalto University, Finland (03.2019)

Visiting researcher @ EDGELab, Princeton University, NJ, US (03.2016 - 04.2016)

Projects

6G Future Network Services (6G FNS), supported by Dutch Ministry of Economic Affairs (National Growth Fund), 2024-2030

MISD: Modular Integrated Sustainable Datacenters , supported by Dutch Ministry of Economic Affairs and Climate, European Important Projects of Common European Interest - Cloud Infrastructure and Services (IPCEI-CIS), 2024-2029

Co-PI EERI: Energy-Efficient and Resilient Internet , supported by EEMCS, University of Twente, 2020-2024

PI, DeVid: Leveraging Deep Learning for VIdeo Streaming, supported by German Research Foundation DFG, 2018

Researcher, Bright Clouds, Dark Clouds (BCDC), supported by Academy of Finland, 2016

Researcher, WiFiUS, Ubiquitous Video over Dynamic Spectrum, supported by Academy of Finland, 2014-2016

Researcher, Picking Digital Pockets (PDP), supported by Academy of Finland, 2012-2015

Research Highlights

EERI: Energy-efficient and resilient Internet

Networking with the edge

Dynamic spectrum sharing and coexistence in unlicensed spectrum

Tech Reports

Recent Research

2021

2020

2019

2018

2017 and earlier

Selected/Invited Talks

Talk@Aalto University, Coexistence of LTE with WiFi in unlicensed spectrum, March. 2018. abstract

Invited talk@Bogazici University, Scaling up for 20 Billion Devices by 2020 and beyond, Feb. 2018. [abstract]

Tutorial@CrownCom2017 in Lisbon, Machine Learning For Spectrum Sharing in Wireless Networks, with Gurkan Gur [abstract] [slides]

Public demonstration lecture@University of Helsinki, Content Delivery Techniques, Feb. 2017 [slides]

Tutorial@CrownCom2015 in Doha, Energy Efficiency of Cognitive Radio Networks, with Gurkan Gur, Salim Eryigit [slides]

Talk@NokiaBellLabs-Dublin, White spaces for sustainable mobile data offloading, April 2016 [slides]

Guest Lecture and Seminar@Bogazici University in Istanbul, Content discovery in Information Centric Networks When to flood? Where to flood?, Dec. 2015 [lecture slides] [seminar slides]

Talk@Cambridge University, Content search and availability estimation in mobile opportunistic networks, Nov. 2015 [slides]

Teaching

MS course: Content delivery techniques, TU Berlin, Germany , Summer 2017, Summer 2018, Summer 2019. (ISIS pages for the courses)

MS seminar: Traffic characteristics in modern wireless networks (with Dr. Anatolij Zubow), TU Berlin, Germany , Winter 2018/2019, Summer 2018, Winter 2017/2018, Summer 2017, Winter 2016/2017. (ISIS pages for the courses)

Organizer of MS/PhD crash course A Comparison of Current and Future Internet Architectures (lecturer: Prof. Sukru Kuran) University of Helsinki, Finland, June 14-17, 2016.

MS seminar: Social Networks Analysis for Communication Networks, University of Helsinki, Finland, Spring 2015 14.01-29.04.2015.

MS Seminar: Cognitive Networks and Cross-Layer Interactions, University of Helsinki, Finland, Spring 2013 14.01-29.04.2013.